Get column names (headers) from hdf file

Question

I was wondering how to get the column names (apparently stored in the hdf header) of the hdf file; for example, a file can have columns with the name [a, b, c, d], while another file has columns [a, b, c], and the other has columns [b, e, r, z]; and I would like to know which ones are. Any help would be greatly appreciated!

Answer 1

To do this outside of python, you can use h5dump through something like h5dump --header my.hdf5

In python you can use h5py

As an example, I would like to access the field names for my HDF-EOS5 file:

 >>> import h5py >>> f = h5py.File('/tmp/temp.hdf','r') >>> f.keys() [u'HDFEOS', u'HDFEOS INFORMATION'] >>> f.values() [<HDF5 group "/HDFEOS" (2 members)>, <HDF5 group "/HDFEOS INFORMATION" (2 members)>] >>> grpname = f.require_group('/HDFEOS') >>> grpname.keys() [u'ADDITIONAL', u'GRIDS'] >>> grpname.values() [<HDF5 group "/HDFEOS/ADDITIONAL" (1 members)>, <HDF5 group "/HDFEOS/GRIDS" (9 members)>] >>> subgrpname = grpname.require_group('/HDFEOS/GRIDS') >>> subgrpname.keys() [u'355nm_band', u'380nm_band', u'445nm_band', u'470nm_band', u'555nm_band', u'660nm_band', u'865nm_band', u'935nm_band', u'Ancillary'] >>> group_660 = subgrpname.require_group('660nm_band') >>> group_660.keys() [u'Data Fields'] >>> group_660.values() [<HDF5 group "/HDFEOS/GRIDS/660nm_band/Data Fields" (20 members)>] >>> fields_660 = group_660.require_group('Data Fields') >>> fields_660.keys() [u'AOLP_meridian', u'AOLP_scatter', u'DOLP', u'Glint_angle', u'I', u'I.mask', u'IPOL', u'Q.mask', u'Q_meridian', u'Q_scatter', u'RDQI', u'Scattering_angle', u'Sun_azimuth', u'Sun_zenith', u'Time_in_seconds_from_epoch', u'U.mask', u'U_meridian', u'U_scatter', u'View_azimuth', u'View_zenith'] >>> fields_660.values() [<HDF5 dataset "AOLP_meridian": shape (3072, 3072), type "<f4">, <HDF5 dataset "AOLP_scatter": shape (3072, 3072), type "<f4">, <HDF5 dataset "DOLP": shape (3072, 3072), type "<f4">, <HDF5 dataset "Glint_angle": shape (3072, 3072), type "<f4">, <HDF5 dataset "I": shape (3072, 3072), type "<f4">, <HDF5 dataset "I.mask": shape (3072, 3072), type "<i4">, <HDF5 dataset "IPOL": shape (3072, 3072), type "<f4">, <HDF5 dataset "Q.mask": shape (3072, 3072), type "<i4">, <HDF5 dataset "Q_meridian": shape (3072, 3072), type "<f4">, <HDF5 dataset "Q_scatter": shape (3072, 3072), type "<f4">, <HDF5 dataset "RDQI": shape (3072, 3072), type "<f4">, <HDF5 dataset "Scattering_angle": shape (3072, 3072), type "<f4">, <HDF5 dataset "Sun_azimuth": shape (3072, 3072), type "<f4">, <HDF5 dataset "Sun_zenith": shape (3072, 3072), type "<f4">, <HDF5 dataset "Time_in_seconds_from_epoch": shape (3072, 3072), type "<f8">, <HDF5 dataset "U.mask": shape (3072, 3072), type "<i4">, <HDF5 dataset "U_meridian": shape (3072, 3072), type "<f4">, <HDF5 dataset "U_scatter": shape (3072, 3072), type "<f4">, <HDF5 dataset "View_azimuth": shape (3072, 3072), type "<f4">, <HDF5 dataset "View_zenith": shape (3072, 3072), type "<f4">]